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New research on technology adoption from Harvard Business School faculty on issues including the use of educational technology, effects of the increasing ubiquity of smartphones, and methods for increasing technology adoption.
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What Happens When Business Owners Turn to ChatBots for Advice

by Ben Rand

Can generative AI help entrepreneurs solve their business problems? Yes, but mostly when companies are already thriving, suggests research by Rembrand Koning that reveals the potential for AI-powered mentors to reach owners around the world.

Can AI Save Physicians from Burnout?

by Susanna Gallani, Lidia Moura, and Katie Sonnefeldt

With many physicians suffering from burnout, artificial intelligence could be a potential solution. Yet if health care payment models continue to push doctors to treat as many patients as possible, AI may inadvertently exacerbate the patient volume problem, say Susanna Gallani, Lidia Moura, and Katie Sonnefeldt.

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

by Ben Rand

An increasing number of consumers are turning to generative AI for buying recommendations. But if companies can subtly manipulate the technology to favor their own products, some businesses may gain unfair advantage, says Himabindu Lakkaraju.

A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better

by Rachel Layne

With all the advances in autonomous vehicle technology, why aren't self-driving cars chauffeuring more people around? Research by Julian De Freitas, Stuti Agarwal, and colleagues reveals a simple psychological barrier: Drivers are overconfident about their own abilities, so they resist handing over the wheel.

How Much Does Proximity Influence Startup Innovation? 20 Meters' Worth to Be Exact

by Ben Rand

When it comes to sharing ideas, how much does close proximity matter? A study by Maria Roche evaluates how knowledge spreads in a coworking space, providing insights that could help shape the debate over remote work.

How to Make AI 'Forget' All the Private Data It Shouldn't Have

by Rachel Layne

When companies use machine learning models, they may run the risk of inadvertently sharing sensitive and private data. Seth Neel explains why it’s important to understand how to wipe AI’s spongelike memory clean.

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

by Rachel Layne

Companies across industries rushed to adopt ChatGPT last year, seeing its potential to streamline tasks formerly handled by people and vendors at much higher cost. As generative AI enters its next phase in 2024, what can leaders expect? Harvard Business School faculty members highlight four trends to watch.

Are Virtual Tours Still Worth It in Real Estate? Evidence from 75,000 Home Sales

by Rachel Layne

Many real estate listings still feature videos and interactive tools that simulate the experience of walking through properties. But do they help homes sell faster? Research by Isamar Troncoso probes the post-pandemic value of virtual home tours.

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

by Rachel Layne

Are you a centaur or a cyborg? A study of 750 consultants sheds new light on the strengths and limits of ChatGPT, and what it takes to operationalize generative AI. Research by Edward McFowland III, Karim Lakhani, Fabrizio Dell'Acqua, and colleagues.

How the United States Air Force Accelerated AI Adoption

Re: Maria P. Roche

In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez with launching a new Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. Having been granted flexibility in the setup of the office, Lopez pondered the complexities of his assignment and the decisions around organizational design he would have to make. It’s often believed that only small start-up organizations can innovate, but a lot of innovation happens in big organizations, including government. Harvard Business School assistant professor Maria Roche is joined by Major Lopez to discuss the challenges of digital transformation in a large bureaucratic organization and the specific choices the U.S. Air Force needed to make when launching its AI Accelerator in her case, "Accelerating AI Adoption in the United States Air Force."

How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

by Ben Rand

It seems like anything is possible with generative AI right now. But how will companies profit from those big ideas? Andy Wu breaks down the potentially painful tradeoffs that tech firms might face as artificial intelligence enters its next phase.

(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?

by Jay Fitzgerald

Generative AI has captured the collective imagination for the moment, eclipsing the once-hyped metaverse. However, it's not the end of virtual reality. A case study by Andy Wu and David Yoffie lays out the key challenges immersive 3D technology must overcome to be truly transformative.

The Rise of Employee Analytics: Productivity Dream or Micromanagement Nightmare?

by Ben Rand

"People analytics"—using employee data to make management decisions—could soon transform the workplace and hiring, but implementation will be critical, says Jeffrey Polzer. After all, do managers really need to know about employees' every keystroke?

Metaverse Seoul: How One City Used Citizen Input to Pilot a Government-Run Metaverse

Re: Mitchell B. Weiss

In May 2022, the Seoul Metropolitan Government in Seoul, Korea launched the pilot of Metaverse Seoul, a virtual version of Seoul’s mayor’s office. As they worked towards building a broad, immersive, online government platform, they hoped to gain insights from citizens about everything from popular local tourist sites that could be experienced virtually to government services that could be delivered in the metaverse. But to do that, the team had to figure out how to solicit ideas from citizens and then determine which ideas to put to use. Professor Mitchell Weiss discusses their approach, as well as questions relating to his research on public entrepreneurship and what he calls “possibility government,” in his case, “Metaverse Seoul.”

Can Autonomous Vehicles Drive with Common Sense?

by Michael Blanding

Driverless vehicles could improve global health as much as the introduction of penicillin. But consumers won't trust the cars until they behave more like humans, argues Julian De Freitas. Open for comment; 0 Comments.

Entrepreneurs (Co-) Working in Close Proximity: Impacts on Technology Adoption and Startup Performance Outcomes

by Maria P. Roche, Alexander Oettl, and Christian Catalini

In one of the largest entrepreneurial co-working spaces in the United States, startups are influenced by peer startups within a distance of 20 meters. The associated advantages for learning and innovation could be lost using at-a-distance work arrangements.

Is a Pandemic the Best Time To Try Out a New Idea?

Re: Mitchell B. Weiss

Singapore's new nationwide, Bluetooth-based contact tracing program TraceTogether must overcome privacy issues to be effective. Would Singaporeans adopt TraceTogether? Professor Mitch Weiss discusses his new case study. Open for comment; 0 Comments.

Autonomous Vehicles Are Ready to Disrupt Society, Business—and You

Re: Elie Ofek & William R. Kerr

The rise of autonomous vehicles has enormous implications for business and society. Professors William R. Kerr and Elie Ofek explore the factors influencing their development and commercialization. Open for comment; 0 Comments.

10 Rules Entrepreneurs Need to Know Before Adopting AI

by Rocio Wu

Business leaders are just beginning to adopt artificial intelligence and machine learning into their operations. Rocio Wu offers insights into how entrepreneurs can start riding the wave. Open for comment; 0 Comments.

Rethinking Business Strategy in the Age of AI

by Dina Gerdeman

For the first time in 100 years, new technologies such as artificial intelligence are causing firms to rethink their competitive strategy and organizational structure, say Marco Iansiti and Karim R. Lakhani, authors of the new book Competing in the Age of AI. Open for comment; 0 Comments.